Global Hydropower Simulation - Forecast_v2
This resource contains the hydropower time series for 735 headwater hydropower dams operating under 3 different schemes – control rules, forecast-informed operations with perfect forecast, and forecast informed operations with deterministic forecast. The deterministic streamflow forecasts depend on...
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dataone:sha256:7f465843c91ed807cf19cd0ceaf8ab68aaba2eff80ff267f7664f98a1139a954 2024-06-03T18:47:01+00:00 Global Hydropower Simulation - Forecast_v2 Donghoon Lee Jia Yi Ng Stefano Galelli Paul Block ENVELOPE(-125.5871,176.7896,68.8154,-45.8796) BEGINDATE: 1958-10-01T00:00:00Z ENDDATE: 2000-06-30T00:00:00Z 2021-12-05T15:47:39Z https://search.dataone.org/view/sha256:7f465843c91ed807cf19cd0ceaf8ab68aaba2eff80ff267f7664f98a1139a954 unknown climate variability global model predictive control streamflow forecast hydropower Dataset dataone:urn:node:HYDROSHARE 2024-06-03T18:17:57Z This resource contains the hydropower time series for 735 headwater hydropower dams operating under 3 different schemes – control rules, forecast-informed operations with perfect forecast, and forecast informed operations with deterministic forecast. The deterministic streamflow forecasts depend on seven drivers, that is, four large scale climate drivers— El Niño Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), Pacific Decadal Oscillation (PDO), and Atlantic Multidecadal Oscillation (AMO)—and three variables accounting for local processes—lagged inflow, snowfall, and soil moisture. Start exploring the data by downloading the Rdata together with the open_file.R script. You will be able to find monthly-resolution time series outputs of our simulation, including the hydropower production, storage level, and water releases for each dam. Dataset North Atlantic North Atlantic oscillation Unknown Pacific ENVELOPE(-125.5871,176.7896,68.8154,-45.8796) |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
dataone:urn:node:HYDROSHARE |
language |
unknown |
topic |
climate variability global model predictive control streamflow forecast hydropower |
spellingShingle |
climate variability global model predictive control streamflow forecast hydropower Donghoon Lee Jia Yi Ng Stefano Galelli Paul Block Global Hydropower Simulation - Forecast_v2 |
topic_facet |
climate variability global model predictive control streamflow forecast hydropower |
description |
This resource contains the hydropower time series for 735 headwater hydropower dams operating under 3 different schemes – control rules, forecast-informed operations with perfect forecast, and forecast informed operations with deterministic forecast. The deterministic streamflow forecasts depend on seven drivers, that is, four large scale climate drivers— El Niño Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), Pacific Decadal Oscillation (PDO), and Atlantic Multidecadal Oscillation (AMO)—and three variables accounting for local processes—lagged inflow, snowfall, and soil moisture. Start exploring the data by downloading the Rdata together with the open_file.R script. You will be able to find monthly-resolution time series outputs of our simulation, including the hydropower production, storage level, and water releases for each dam. |
format |
Dataset |
author |
Donghoon Lee Jia Yi Ng Stefano Galelli Paul Block |
author_facet |
Donghoon Lee Jia Yi Ng Stefano Galelli Paul Block |
author_sort |
Donghoon Lee |
title |
Global Hydropower Simulation - Forecast_v2 |
title_short |
Global Hydropower Simulation - Forecast_v2 |
title_full |
Global Hydropower Simulation - Forecast_v2 |
title_fullStr |
Global Hydropower Simulation - Forecast_v2 |
title_full_unstemmed |
Global Hydropower Simulation - Forecast_v2 |
title_sort |
global hydropower simulation - forecast_v2 |
publishDate |
|
url |
https://search.dataone.org/view/sha256:7f465843c91ed807cf19cd0ceaf8ab68aaba2eff80ff267f7664f98a1139a954 |
op_coverage |
ENVELOPE(-125.5871,176.7896,68.8154,-45.8796) BEGINDATE: 1958-10-01T00:00:00Z ENDDATE: 2000-06-30T00:00:00Z |
long_lat |
ENVELOPE(-125.5871,176.7896,68.8154,-45.8796) |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
_version_ |
1800874755701604352 |